Job description

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.


We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X ) and enabling capital availability for businesses (via Razorpay Capital ).


Roles And Responsibilities


  • Work with Business stakeholders to understand Business requirements and desired business outcomes
  • Design and build simple reusable components of larger process or framework to support analytics products with guidance from experienced peers
  • Design and implement product features in collaboration with business and Technology stakeholders
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Build monitoring and alerting for the reporting and analytics system
  • Clean, prepare and optimize data at scale for ingestion and consumption
  • Support the implementation of new data management projects and re-structure of the current data architecture
  • Implement automated workflows and routines using Airflow/Custom tools
  • Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Analyze and profile data for the purpose of designing scalable solutions
  • Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues


Experience And Skills


  • 4-5 years of experience in data engineering domain
  • Strong Data analysis and SQL expertise and understanding of DWH data models in RedShing
  • Strong experience with scripting languages such as Shell, Python with relational SQL
  • Strong work experience in the ETL/ELT tools like Airflow
  • Experience in the cloud data ecosystem, specifically with AWS. Experience in AWS data components like S3, Redshift & RDS
  • Experience with any data visualization and business intelligence tools
  • Good presentation and good communication skills
  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is nice to have
  • Previous exposure to fintech is a plus, but not required
  • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients
  • Demonstrated analytical rigor, strong attention to detail, team oriented, energetic, and collaborative
  • Experience with source control tools such as GitHub and related dev process


Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.


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